重要更新：

在很多嘗試之后無果后，我相信是我的人品問題。今天突然看到一篇文章沃缘，解決我的問題
文章地址
其中有個帥哥的回答是這樣的：

Just go to this page and dowload the Python Wheel file and just pip install it. Or if you want a pre-python 3.6 build you want download it here.

pip install dlib-file.whl

點擊他的第一個鏈接，往下滑孵奶，終于出現(xiàn)了我想要的東西

捕獲.PNG

蒼了個天，果斷下載然后以pip方式進行包的安裝--bingo蜡峰！成功了袁！
接著嘗試

pip install face_recognition

bingo! 成功！之后的內(nèi)容可不看湿颅！

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1.cmake

1.PNG

@PBShortStop Installation of CMake in windows is very simple just grab the installation file (*.msi) from this link and install it. Remember to check the "Add CMake to system path" during the installation. Then you can simply use cmake --version in command prompt.

繼續(xù)嘗試安裝dlib载绿，shit! 不行
在命令行中嘗試了一下cmake指令，并沒有報錯油航！
嘗試下載dlib離線未編譯版卢鹦，再編譯，運行過程中拋錯誤

CMake Error at CMakeLists.txt:5 (project):
No CMAKE_C_COMPILER could be found.
CMake Error at CMakeLists.txt:5 (project):
No CMAKE_CXX_COMPILER could be found.

錯誤信息大概如上所示，找解決辦法：看到一篇文章
給出的解決辦法如下所示

查看文件buile/CMakeFiles/CMakeError.log
報錯如下：
LINK : fatal error LNK1158: cannot run 'rc.exe'
解決方法：
1.進入目錄C:\Program Files (x86)\Microsoft SDKs\Windows\v7.1A\Bin
2.拷貝文件：RC.Exe 和 RcDll.Dll
3.放到從CMakeError.log文件中看到的鏈接目錄下冀自，比如：F:\VS\VC\bin

照做，運行還是報一樣的錯誤秒啦，那就是沒有添加到系統(tǒng)環(huán)境變量
嘗試把它添加到系統(tǒng)環(huán)境變量當中熬粗，運行---沒有之前的cmake error了

忘了，之前有一個編譯boost的過程余境，boost的下載地址如下

https://sourceforge.net/projects/boost/files/boost-binaries/

注意事項：下載的boost版本要和MSVC編譯器適配

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以上Windows安裝dlib的指導主要遵循以下知道
原文地址

Hi,
I've successfully installed and tested this tool on my windows 10 machine and I'm writing a simple procedure to install it. It may be useful for some people try to use this tool on a Windows machine.
IMPORTANT: Actually this project has made for Linux systems and especially dlib. In my tests, the performance of this tool in Windows 10 was about a quarter in comparison with Ubuntu built with the same specs. But I haven't seen any difference between these two in other subjects.
Requirments:
(I've used this tutorial with these tools installed on Windows 10 but the newer version may work too.)

1. Microsoft Visual Studio 2015 with C/C++ Compiler installed. (Visual C++ 2015 Build Tools didn't work for me and I got into problems in compiling dlib)
2. Boost library version 1.63 or newer. Also, you can use precompiled binaries for specific MSVC you have but I don't suggest. (I've included the compiling procedure of Boost in this tutorial)
3. Of course Python3 (I used Python3.5 x64 but I think the other versions would work too)
4. CMake for windows and add it to your system environment variables.
   Installation:
5. Download and install scipy and numpy+mkl (must be mkl version) packages from this link (all credits goes to Christoph Gohlke). Remember to grab correct version based on your current Python version.
6. Download Boost library source code or binary release for your current MSVC from this link.
7. If you downloaded the binary version skip to step 4 else follow these steps to compile and build Boostby yourself:
   3-1. Extract the Boost source files into C:\local\boost_1_XX_X (X means the current version of Boostyou have)
   3-2. Create a system variable with these parameters:
   Name: VS140COMNTOOLS
   Value: C:\Program Files (x86)\Microsoft Visual Studio 14.0\Common7\Tools\ (or any path where you have installed MSVC)
   3-3. Open Developer Command Prompt for Visual Studio and go to the current directory of Boostextracted and try these commands to compile Boost:
   bootstrap
b2 -a --with-python address-model=64 toolset=msvc runtime-link=static
   3-4. If you successfully compile Boost, it should create compiled files in stage directory.
8. (If you have already compiled Boost skip this step) If you already download the binary release just extract the contents to C:\local\boost_1_XX_X
9. Grab latest version of dlib from this repo and extract it.
10. Go to dlibdirectory and open cmd and follow these commands to build dlib: (remember to replace XX with current version of Boost you have)
    set BOOST_ROOT=C:\local\boost_X_XX_X
set BOOST_LIBRARYDIR=C:\local\boost_X_XX_X\stage\lib
python setup.py install --yes USE_AVX_INSTRUCTIONS or python setup.py install --yes USE_AVX_INSTRUCTIONS --yes DLIB_USE_CUDA
11. Now you can use import dlib without any problem into your python script.
12. You can also check the current version of dlib with pip show dlib.
13. Now simply install face_recognition with pip install face_recognition.
14. Enjoy!